MS1VIS - Decision Making in Medicine
Course specification | ||||
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Course title | Decision Making in Medicine | |||
Acronym | MS1VIS | |||
Study programme | Electrical Engineering and Computing | |||
Module | Applied Mathematics | |||
Type of study | master academic studies | |||
Lecturer (for classes) | ||||
Lecturer/Associate (for practice) | ||||
Lecturer/Associate (for OTC) | ||||
ESPB | 6.0 | Status | elective | |
Condition | none | |||
The goal | Introduction to basic ideas, techniques, methods, and applications of artificial intelligence in process control, signal analysis, machine learning and computer communication systems. | |||
The outcome | The ability of formal characterization and formal representation of knowledge and strategies underlying intelligent processes and programs. | |||
Contents | ||||
Contents of lectures | Overview of main directions of development and artificial intelligence. Methods of knowledge representation. Techniques and strategies for building automated reasoning procedures. Inference under specific conditions. Heuristics. Search techniques. Examples of the application of artificial intelligence. | |||
Contents of exercises | Introduction to automated reasoning techniques and software tools to work with it. | |||
Literature | ||||
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Number of hours per week during the semester/trimester/year | ||||
Lectures | Exercises | OTC | Study and Research | Other classes |
3 | 1 | 1 | ||
Methods of teaching | Lectures and auditory exercises. | |||
Knowledge score (maximum points 100) | ||||
Pre obligations | Points | Final exam | Points | |
Activites during lectures | 0 | Test paper | 70 | |
Practical lessons | 30 | Oral examination | 0 | |
Projects | 0 | |||
Colloquia | 0 | |||
Seminars | 0 |